A Fast Template Matching Method based on Context Prediction

摘要：

This paper presents a novel fast template matching algorithm based on context prediction. The predicted regions are those windows that contain the current entire sub-window. Comparison skipping or comparison terminating is executed when a low bound of distance which has been calculated between the template and the window exceeds the threshold. Experimental results and theory analyses prove the proposed method is faster than the conventional fast template matching method, strictly guaranteeing the same accuracy and up to maximal twenty times faster than the SSDA.

关键词： template matching fast algorithm context prediction SSDA

作者: Lie Kang Sheng Zhong Zuoqian Du Zhangfa Ren

作者单位: State Key Lab. of Multi-spectral Information Processing Technology, Inst. for Pattern Recognition & State Key Lab. of Multi-spectral Information Processing Technology,Inst. for Pattern Recognition & A

会议类型: 国际会议

会议名称: 第七届多光谱图象处理与模式识别国际学术会议

会议地点: 桂林

会议语种:英文

页码: 1-7

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）